GitHub

Anima - Qwen text encoder weights are not loaded

llm_config = transformers.Qwen3Config.from_pretrained('configs/qwen3_06b', local_files_only=True) self.text_encoder = transformers.Qwen3ForCausalLM(llm_config).model ...
IEEE

LLM-Empowered Semantic Communication for Multi-Task 3D Scene Understanding in Low-Altitude Economy Networks

Abstract: The rapid expansion of aerial vehicle applications in the low-altitude economy (LAE) requires reliable scene understanding to support safe and effective urban operations. However, existing ...
blockchain

List of Flash News about hit rate and precision

According to @DeepLearningAI, a new course teaches developers to build a semantic cache that reuses responses based on meaning rather than exact text to reduce API costs and speed up responses, source ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...
Microsoft

Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders

Despite significant advances in Multimodal Large Language Models (MLLMs), understanding complex temporal dynamics in videos remains a major challenge. Our experiments show that current Video Large ...
IEEE

Visual Evidence-aware for Object Hallucinations Rectification in LLM-based Video Captioning

Abstract: Recent neural models for video captioning are typically built using a framework that combines a pre-trained visual encoder with a large language model(LLM) decoder. However, large language ...
VentureBeat

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...